Colouring vehicle threat and minimising threat avoidance trajectory cost for adaptive vehicle collision defence system in active safe driving

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Colouring vehicle threat and minimising threat avoidance trajectory cost for adaptive vehicle collision defence system in active safe driving

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Chang, Ben-Jye / Yu, Bo-Han / Liang, Ying-Hsin

The Advanced Driver Assistance Systems (ADASs) have been proposed to avoid vehicular accidents by using the inter-vehicle cooperation mechanism, the real-time-based sharing of the road and traffic information, automatic controls of braking and acceleration and so on. Several critical challenges in ADAS are seldom discussed in related studies, including unstable driving in velocity or the road lane, driving assistance without driving path prediction, suddenly happening of human abnormal driving or mechanical vehicle accident and so on. Thus, this study proposes the Adaptive vehicle Collision Defence (ACD) system to minimise the driving threat under critical driving threats. The proposed ACD consists of three phases: the adaptive time-to-collision (TTC) determination phase, the threat probability analysis with colouring phase, and the threat avoidance phase. The main objectives are to minimise the driving threat probability and to achieve active safe driving for the advanced driver assistance systems. Numerical results indicate that the proposed ACD outperforms the compared approaches in TTC probability, driving threat probability, and region boundary.